Factors Associated With Adherence to a Supervised Exercise Intervention for Osteoarthritis: Data From the Swedish Osteoarthritis Registry
Authors' conclusion
Despite the associations reported above, the poorly explained variability suggests that strategies based on lifestyle and demographic, socioeconomic, and disease-related factors are unlikely to improve exercise adherence significantly.
Study context
- Population
- Participants from the Swedish Osteoarthritis Registry who attended the exercise part of a nationwide Swedish osteoarthritis (OA) management program (73% female, mean ± SD age 67 ± 8.9 years)16,685 analysed
- Participants
- 19,750 participants
- Exposure
- Low adherence vs Medium adherence vs High adherence
- Low adherencen = 5,862reference
- Medium adherencen = 3,947
- High adherencen = 9,941
- Outcome
- Association of lifestyle, demographic, socioeconomic and disease-related factors with supervised exercise adherence, and their ability to explain adherence (McFadden R2)
Methodological detailsmultinomial logistic regression, McFadden R2
- Multinomial logistic regression
- McFadden R2
Main finding
As reported in the abstract
Factors associated with high vs low adherence
Each group vs low adherenceRRR, arthritis-specific self-efficacy (per 10-point increase) (95% CI)
High adherence
1.04(1.02–1.07)
- High adherence
- RRR, older age (per year) 1.01 (95% CI 1.01–1.02)
- High adherence
- RRR, female sex 0.82 (95% CI 0.75–0.89)
- High adherence
- RRR, medium level of education 0.89 (95% CI 0.81–0.98)
- High adherence
- RRR, high level of education 0.84 (95% CI 0.76–0.94)
- Variability in exercise adherence explained by investigated factors: 1% (McFadden R2)
- R2 = 0.012
Observational data: associations, not effects.
Original publication
Factors Associated With Adherence to a Supervised Exercise Intervention for Osteoarthritis: Data From the Swedish Osteoarthritis Registry. Arthritis Care Res (Hoboken). Published 12 May 2023. doi:10.
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